{"id":"W4415284538","doi":"10.1109/icmctc62214.2025.11196593","title":"Integrating Machine Learning Models for Accurate Prediction of Diabetes","year":2025,"lang":"","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Windsor Clinical Research","funders":"","keywords":"Random forest; Predictive modelling; Support vector machine; Deep learning; Diabetes mellitus; Decision tree","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834383,0.0006259432,0.0006315843,0.0008518005,0.000269256,0.001037511,0.0005242252,0.0007594194,0.001106962],"category_scores_gemma":[0.005691819,0.0003116641,0.0006307872,0.0008222481,0.000166656,0.001086033,0.0006318246,0.00141672,0.0005665511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005358633,"about_ca_system_score_gemma":0.001003187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008083259,"about_ca_topic_score_gemma":0.009374838,"domain_scores_codex":[0.9993451,0.0002498056,0.00005097612,0.0001165724,0.0001721205,0.00006531153],"domain_scores_gemma":[0.9980452,0.001328453,0.000124966,0.000141004,0.0003056345,0.00005479851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001431715,0.0002238314,0.016124,0.00009364237,0.0001582399,0.0001293918,0.00007001847,0.7889993,0.002048138,0.003070311,0.002435105,0.1865049],"study_design_scores_gemma":[0.000003170098,0.00002356042,0.0009128005,0.00001498422,0.00001548011,0.00002011478,0.000007795886,0.9954412,0.000561898,0.002552677,0.0004381541,0.000008087412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1536172,0.004723178,0.8325318,0.002805747,0.0003739936,0.00008254055,0.0006072322,0.001704604,0.003553737],"genre_scores_gemma":[0.857665,0.001543777,0.1381875,0.0002811842,0.000178447,0.00006194135,0.0007168542,0.00005212598,0.001313181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008083259,"threshold_uncertainty_score":0.01607239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2483449993537061,"score_gpt":0.4670969708966732,"score_spread":0.2187519715429672,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}